Space Data Center ETF Targets Orbital AI Boom as Nvidia's $500B Infrastructure Financing Faces Scrutiny

A new space data center ETF, SDC, targets orbital computing and AI infrastructure as Nvidia and hyperscaler spending face growing financial scrutiny.

space data

Key takeaways

  • New SDC ETF targets orbital and terrestrial AI infrastructure
  • Fund tracks up to 30 space and computing companies
  • Nvidia-linked AI financing concerns complicate the investment outlook

Wall Street is expanding its artificial intelligence investment themes beyond Earth, with a new exchange-traded fund targeting companies involved in orbital data centers, advanced computing hardware and space infrastructure as investors increasingly question the sustainability of AI spending.

The KICK Space Data Center & Infrastructure Index ETF, trading under the proposed ticker SDC on Nasdaq, is detailed in a November 13 SEC prospectus. The fund will track the Akros Space Data Center & Infrastructure Index, combining traditional AI computing suppliers with businesses developing infrastructure for space-based operations.

The filing arrives amid heightened scrutiny of Nvidia's infrastructure financing, where investors have questioned whether increasingly expensive GPU clusters can support long-term borrowing.

New Space Data Center ETF Combines AI Chips With Orbital Infrastructure

The SDC ETF follows a rules-based index containing up to 30 companies, targeting approximately 15 securities in each of two investment categories.

The first covers computing hardware, including GPUs, AI accelerators, server processors, memory, storage and high-speed networking equipment. The second focuses on satellite manufacturing, launch services, orbital transportation, communications and supporting space infrastructure.

The index requires eligible companies to have a market capitalization of at least $500 million and average daily trading value of at least $1 million over three months.

Individual positions generally cannot exceed 10% of the index, while its annual expense ratio is 0.65%. The portfolio will be rebalanced quarterly.

Unlike a pure space investment fund, SDC can gain exposure to companies supplying equipment used in conventional data centers, potentially linking its performance to the same AI infrastructure expansion driving semiconductor demand.

Why Orbital AI Computing Is Attracting Investors

Space-based computing has emerged as an experimental alternative to expanding energy-intensive terrestrial data centers.

In January 2026, SpaceX submitted an application to the Federal Communications Commission seeking authority for an orbital data center satellite system involving up to one million satellites. The FCC accepted the application for review in February, but that procedural step did not constitute approval.

The concept involves processing information in orbit, potentially using solar energy while reducing some dependence on terrestrial electricity infrastructure.

However, launch expenses, radiation exposure, heat rejection, communications capacity and equipment maintenance create substantial technical and economic challenges.

Those uncertainties distinguish orbital computing from established Bitcoin mining conversions, where existing industrial sites and power connections can already support aspects of conventional data center development.

Nvidia Spending Scrutiny Raises Questions About the Next AI Boom

The ETF's timing highlights a broader contradiction in AI investing: financial products are expanding into futuristic computing infrastructure while investors remain concerned about financing existing facilities.

Nvidia has faced questions over its initiative to mobilize more than $500 billion in third-party capital for AI infrastructure, including whether expensive GPUs can reliably support long-duration financing arrangements.

Meanwhile, major AI infrastructure debt commitments have raised concerns about the gap between construction spending and future customer revenue.

The financing issue extends beyond Nvidia. Goldman Sachs has highlighted potentially enormous data center investment requirements, with higher borrowing costs threatening returns on capital-intensive projects.